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Imaging glucose metabolism to reveal tumor progression
Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932271/ https://www.ncbi.nlm.nih.gov/pubmed/36818450 http://dx.doi.org/10.3389/fphys.2023.1103354 |
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author | Meng, Yiming Sun, Jing Zhang, Guirong Yu, Tao Piao, Haozhe |
author_facet | Meng, Yiming Sun, Jing Zhang, Guirong Yu, Tao Piao, Haozhe |
author_sort | Meng, Yiming |
collection | PubMed |
description | Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits cell apoptosis. Molecular imaging technology combines molecular biology and cell probe technology to visualize, characterize, and quantify processes at cellular and subcellular levels in vivo. Modern instruments, including molecular biochemistry, data processing, nanotechnology, and image processing, use molecular probes to perform real-time, non-invasive imaging of molecular and cellular events in living organisms. Conclusion: Molecular imaging is a non-invasive method for live detection, dynamic observation, and quantitative assessment of tumor glucose metabolism. It enables in-depth examination of the connection between the tumor microenvironment and tumor growth, providing a reliable assessment technique for scientific and clinical research. This new technique will facilitate the translation of fundamental research into clinical practice. |
format | Online Article Text |
id | pubmed-9932271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99322712023-02-17 Imaging glucose metabolism to reveal tumor progression Meng, Yiming Sun, Jing Zhang, Guirong Yu, Tao Piao, Haozhe Front Physiol Physiology Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits cell apoptosis. Molecular imaging technology combines molecular biology and cell probe technology to visualize, characterize, and quantify processes at cellular and subcellular levels in vivo. Modern instruments, including molecular biochemistry, data processing, nanotechnology, and image processing, use molecular probes to perform real-time, non-invasive imaging of molecular and cellular events in living organisms. Conclusion: Molecular imaging is a non-invasive method for live detection, dynamic observation, and quantitative assessment of tumor glucose metabolism. It enables in-depth examination of the connection between the tumor microenvironment and tumor growth, providing a reliable assessment technique for scientific and clinical research. This new technique will facilitate the translation of fundamental research into clinical practice. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9932271/ /pubmed/36818450 http://dx.doi.org/10.3389/fphys.2023.1103354 Text en Copyright © 2023 Meng, Sun, Zhang, Yu and Piao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Meng, Yiming Sun, Jing Zhang, Guirong Yu, Tao Piao, Haozhe Imaging glucose metabolism to reveal tumor progression |
title | Imaging glucose metabolism to reveal tumor progression |
title_full | Imaging glucose metabolism to reveal tumor progression |
title_fullStr | Imaging glucose metabolism to reveal tumor progression |
title_full_unstemmed | Imaging glucose metabolism to reveal tumor progression |
title_short | Imaging glucose metabolism to reveal tumor progression |
title_sort | imaging glucose metabolism to reveal tumor progression |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932271/ https://www.ncbi.nlm.nih.gov/pubmed/36818450 http://dx.doi.org/10.3389/fphys.2023.1103354 |
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